Realistic in silico generation and augmentation of single-cell RNA-seq data using generative adversarial networks M Marouf, P Machart, V Bansal, C Kilian, DS Magruder, CF Krebs, S Bonn Nature communications 11 (1), 166, 2020 | 179* | 2020 |
Reconciling "priors" and "priors" without prejudice? R Gribonval, P Machart Advances in Neural Information Processing Systems, 2193-2201, 2013 | 34 | 2013 |
Algorithmic advances in machine learning for single-cell expression analysis S Oller-Moreno, K Kloiber, P Machart, S Bonn Current Opinion in Systems Biology 25, 27-33, 2021 | 26 | 2021 |
Confusion matrix stability bounds for multiclass classification P Machart, L Ralaivola arXiv preprint arXiv:1202.6221, 2012 | 26 | 2012 |
On TCR Binding Predictors Failing to Generalize to Unseen Peptides F Grazioli, A Mösch, P Machart, K Li, I Alqassem, TJ O'Donnell, MR Min Frontiers in Immunology 13, 6360, 2022 | 25 | 2022 |
Optimal computational trade-off of inexact proximal methods P Machart, S Anthoine, L Baldassarre arXiv preprint arXiv:1210.5034, 2012 | 22 | 2012 |
Stochastic low-rank kernel learning for regression P Machart, T Peel, L Ralaivola, S Anthoine, H Glotin arXiv preprint arXiv:1201.2416, 2012 | 6 | 2012 |
DISCERN: deep single-cell expression reconstruction for improved cell clustering and cell subtype and state detection F Hausmann, C Ergen, R Khatri, M Marouf, S Hänzelmann, N Gagliani, ... Genome Biology 24 (1), 212, 2023 | 5 | 2023 |
Attentive Variational Information Bottleneck for TCR–peptide interaction prediction F Grazioli, P Machart, A Mösch, K Li, LV Castorina, N Pfeifer, MR Min Bioinformatics 39 (1), btac820, 2023 | 4 | 2023 |
Coping with the Computational and Statistical Bipolar Nature of Machine Learning P Machart Aix-Marseille Université, 2012 | 2 | 2012 |
Apprentissage Stochastique de Noyau de Rang Faible pour la Régression P Machart, T Peel, L Ralaivola, S Anthoine, H Glotin Actes de la 7ème Plateforme de l’Association Française pour l’Intelligence …, 2011 | 1 | 2011 |
NeoAgDT: optimization of personal neoantigen vaccine composition by digital twin simulation of a cancer cell population A Mösch, F Grazioli, P Machart, B Malone Bioinformatics 40 (5), btae205, 2024 | | 2024 |
DISSECT: deep semi-supervised consistency regularization for accurate cell type fraction and gene expression estimation R Khatri, P Machart, S Bonn Genome Biology 25 (1), 112, 2024 | | 2024 |
Assessing the Generalization Capabilities of TCR Binding Predictors via Peptide Distance Analysis LV Castorina, F Grazioli, P Machart, A Moesch, F Errica bioRxiv, 2023.07. 29.551100, 2023 | | 2023 |
Semi-supervised consistency regularization for accurate cell type fraction and gene expression estimation R Khatri, P Machart, S Bonn | | 2023 |
Conciliation d'a prioris sans préjugé R Gribonval, P Machart 46è Journées de Statistique, 2014 | | 2014 |
Optimal Computational Trade-Off of Inexact Proximal Methods (short version) P Machart, L Baldassarre, S Anthoine Multi-Trade-offs in Machine Learning (NIPS), 2012 | | 2012 |
Morphological Segmentation P Machart | | |